Author

Alejandro Apolinar–Fernández

Instituto de Biomedicina de SevillaORCID 0000-0002-8195-3318Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

Hans Van OosterwyckiD· 2 shared Jorge Barrasa FanoiD· 2 shared Jose A. Sanz‐HerreraiD· 2 shared Apeksha ShapetiiD· 1 shared Débora do Carmo LinharesiD· 1 shared Elías Núñez-OrtegaiD· 1 shared Gijsje Hendrika KoenderinkiD· 1 shared Iain MuntziD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiophysics

Hans Van OosterwyckORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintNov 17, 2025

Data-driven traction force microscopy in 3D collagen hydrogels

Jorge Barrasa Fano, Laurens Kimps, Alejandro Apolinar–Fernández…·Hans Van Oosterwyck

This paper introduces DD-TFM, a data-driven 3D traction force microscopy method that models collagen hydrogels as discrete fiber networks, revealing fiber-level matrix deformations caused by endothelial cells.

DOI 10.1101/2025.11.17.688772

imagingdeep learning

𝕏 PostBluesky

BiophysicsEuropean Journal of Mechanics - A/SolidsPeer-reviewedMay 31, 2025

Inverse modeling of heterogeneous ECM mechanical properties in nonlinear 3DTFM

Alejandro Apolinar–Fernández, Jorge Barrasa Fano, Hans Van Oosterwyck, Jose A. Sanz‐Herrera

This paper introduces an inverse methodology for 3DTFM to reconstruct spatially heterogeneous ECM stiffness distributions, validated using in silico cases and compared to L-BFGS.

6 citations

imagingdeep learning

𝕏 PostBluesky